Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Aligning Language Models to Explicitly Handle Ambiguity
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.11972.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:13.844655Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bdafe922-7118-4b46-9d6f-b3c7e0c4e6d5 · inbound
Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction cites this paper.
Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction Aligning Language Models to Explicitly Handle Ambiguity
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:22:13.844655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 982eca79-e2fb-4e44-b613-5783a3ad4547 · inbound
LLM-based ambiguity detection in natural language instructions for collaborative surgical robots cites this paper.
LLM-based ambiguity detection in natural language instructions for collaborative surgical robots Aligning Language Models to Explicitly Handle Ambiguity
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:13:37.169064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7546d490-f047-4f86-8870-6090ff359b96 · inbound
SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.
SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science Aligning Language Models to Explicitly Handle Ambiguity
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:38:12.111990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.